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sample_avro_pipeline.py
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sample_avro_pipeline.py
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import argparse
import logging
import apache_beam as beam
from options.common_options import CommonOptions
from options.dataflow_runner_options import DataflowRunnerOptions
from options.flink_runner_options import FlinkRunnerOptions
from transformers.avro_file_transformer import StackOverflowAvroDataTransform
def run(options):
with beam.Pipeline(options=options) as p:
(p
| 'Read Avro' >> beam.io.ReadFromAvro(p.options.input, validate=False)
| 're-shuffling' >> beam.Reshuffle()
| 'Transformation' >> StackOverflowAvroDataTransform()
| 'Write to file' >> beam.io.WriteToText(
p.options.output,
file_name_suffix=".csv",
header=p.options.csv_header
)
)
if __name__ == '__main__':
logging.getLogger().setLevel(logging.INFO)
parser = argparse.ArgumentParser(description='Process sample dataset by Apache Beam.')
parser.add_argument('--runner', type=str, help='select `Runner` for the pipeline')
args = parser.parse_known_args()
if args[0].runner == "flink":
run(options=FlinkRunnerOptions())
elif args[0].runner == "dataflow":
run(options=DataflowRunnerOptions())
elif args[0].runner == "direct":
run(options=CommonOptions())
# TODO add case for PortableRunner
else:
run(options=CommonOptions())